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|Title:||Global robust stability for delayed neural networks with polytopic type uncertainties|
|Authors:||He, Y. |
|Source:||He, Y., Wang, Q.-G., Zheng, W.-X. (2005-12). Global robust stability for delayed neural networks with polytopic type uncertainties. Chaos, Solitons and Fractals 26 (5) : 1349-1354. ScholarBank@NUS Repository. https://doi.org/10.1016/j.chaos.2005.04.005|
|Abstract:||In this paper, global robust stability for delayed neural networks is studied. First the free-weighting matrices are employed to express the relationship between the terms in the system equation, and a stability condition for delayed neural networks is derived by using the S-procedure. Then this result is extended to establish a global robust stability criterion for delayed neural networks with polytopic type uncertainties. A numerical example given in [IEEE Trans Circuits Syst II 52 (2005) 33-36] for interval delayed neural networks is investigated. The effectiveness of the presented global robust stability criterion and its improvement over the existing results are demonstrated. © 2005 Elsevier Ltd. All rights reserved.|
|Source Title:||Chaos, Solitons and Fractals|
|Appears in Collections:||Staff Publications|
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